Fraunhofer

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The Fraunhofer Society is a German research organization with 72 institutes spread throughout Germany, each focusing on different fields of applied science.

Towards Explainable Artificial Intelligence

In recent years, machine learning (ML) has become a key enabling technol...
09/26/2019 ∙ by Wojciech Samek, et al. ∙ 72 ∙ share

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SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure

Ensuring safety and explainability of machine learning (ML) is a topic o...
05/27/2020 ∙ by Koorosh Aslansefat, et al. ∙ 60 ∙ share

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Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey

Deep Learning is a state-of-the-art technique to make inference on exten...
11/27/2019 ∙ by Vanessa Buhrmester, et al. ∙ 45 ∙ share

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Real-time texturing for 6D object instance detection from RGB Images

For objected detection, the availability of color cues strongly influenc...
12/13/2019 ∙ by Pavel Rojtberg, et al. ∙ 23 ∙ share

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PHS: A Toolbox for Parellel Hyperparameter Search

We introduce an open source python framework named PHS - Parallel Hyperp...
02/26/2020 ∙ by Peter Michael Habelitz, et al. ∙ 20 ∙ share

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Explaining and Interpreting LSTMs

While neural networks have acted as a strong unifying force in the desig...
09/25/2019 ∙ by Leila Arras, et al. ∙ 17 ∙ share

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Multi-Label Class Balancing Algorithm for Action Unit Detection

Isolated facial movements, so-called Action Units, can describe combined...
02/08/2020 ∙ by Jaspar Pahl, et al. ∙ 16 ∙ share

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Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL

Electrocardiography is a very common, non-invasive diagnostic procedure ...
04/28/2020 ∙ by Nils Strodthoff, et al. ∙ 16 ∙ share

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PHS: A Toolbox for Parallel Hyperparameter Search

We introduce an open source python framework named PHS - Parallel Hyperp...
02/26/2020 ∙ by Peter Michael Habelitz, et al. ∙ 15 ∙ share

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Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy Measurements

Digital contact tracing approaches based on Bluetooth low energy (BLE) h...
04/22/2020 ∙ by Felix Sattler, et al. ∙ 13 ∙ share

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Robust and Communication-Efficient Federated Learning from Non-IID Data

Federated Learning allows multiple parties to jointly train a deep learn...
03/07/2019 ∙ by Felix Sattler, et al. ∙ 12 ∙ share

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Automatic segmentation of the pulmonary lobes with a 3D u-net and optimized loss function

Fully-automatic lung lobe segmentation is challenging due to anatomical ...
05/29/2020 ∙ by Bianca Lassen-Schmidt, et al. ∙ 11 ∙ share

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Underwater Color Restoration Using U-Net Denoising Autoencoder

Visual inspection of underwater structures by vehicles, e.g. remotely op...
05/22/2019 ∙ by Yousif Hashisho, et al. ∙ 9 ∙ share

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Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography

The high complexity of various inverse problems poses a significant chal...
11/12/2018 ∙ by T. A. Bubba, et al. ∙ 8 ∙ share

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Deep Workpiece Region Segmentation for Bin Picking

For most industrial bin picking solutions, the pose of a workpiece is lo...
09/08/2019 ∙ by Muhammad Usman Khalid, et al. ∙ 8 ∙ share

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Automatic Analysis of Sewer Pipes Based on Unrolled Monocular Fisheye Images

The task of detecting and classifying damages in sewer pipes offers an i...
12/11/2019 ∙ by Johannes Künzel, et al. ∙ 8 ∙ share

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Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond

With the broader and highly successful usage of machine learning in indu...
03/17/2020 ∙ by Wojciech Samek, et al. ∙ 7 ∙ share

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Evaluating Recurrent Neural Network Explanations

Over the last years machine learning (ML) has become a key enabling tech...
04/26/2019 ∙ by Leila Arras, et al. ∙ 6 ∙ share

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Super-Resolution of PROBA-V Images Using Convolutional Neural Networks

ESA's PROBA-V Earth observation satellite enables us to monitor our plan...
07/03/2019 ∙ by Marcus Märtens, et al. ∙ 5 ∙ share

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Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution

Integrated gradients as an attribution method for deep neural network mo...
04/22/2020 ∙ by Gary S. W. Goh, et al. ∙ 5 ∙ share

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Real-time on-board obstacle avoidance for UAVs based on embedded stereo vision

In order to improve usability and safety, modern unmanned aerial vehicle...
07/17/2018 ∙ by Boitumelo Ruf, et al. ∙ 4 ∙ share

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Towards Ground Truth Evaluation of Visual Explanations

Several methods have been proposed to explain the decisions of neural ne...
03/16/2020 ∙ by Ahmed Osman, et al. ∙ 4 ∙ share

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Advancing Renewable Electricity Consumption With Reinforcement Learning

As the share of renewable energy sources in the present electric energy ...
03/09/2020 ∙ by Filip Tolovski, et al. ∙ 3 ∙ share

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Counterstrike: Defending Deep Learning Architectures Against Adversarial Samples by Langevin Dynamics with Supervised Denoising Autoencoder

Adversarial attacks on deep learning models have been demonstrated to be...
05/30/2018 ∙ by Vignesh Srinivasan, et al. ∙ 2 ∙ share

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A Systematic Evaluation of Recent Deep Learning Architectures for Fine-Grained Vehicle Classification

Fine-grained vehicle classification is the task of classifying make, mod...
06/08/2018 ∙ by Krassimir Valev, et al. ∙ 2 ∙ share

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Measuring Semantic Coherence of a Conversation

Conversational systems have become increasingly popular as a way for hum...
06/17/2018 ∙ by Svitlana Vakulenko, et al. ∙ 2 ∙ share

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Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling

In this comment on "Solving Statistical Mechanics Using Variational Auto...
03/26/2019 ∙ by Kim Nicoli, et al. ∙ 2 ∙ share

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Efficient Pose Selection for Interactive Camera Calibration

The choice of poses for camera calibration with planar patterns is only ...
07/09/2019 ∙ by Pavel Rojtberg, et al. ∙ 2 ∙ share

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Automatic Co-Registration of Aerial Imagery and Untextured Model Data Utilizing Average Shading Gradients

The comparison of current image data with existing 3D model data of a sc...
06/26/2019 ∙ by Sylvia Schmitz, et al. ∙ 1 ∙ share

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Automated Distribution System Planning for Large-Scale Network Integration Studies

Network integration studies try to assess the impact of future developme...
11/09/2017 ∙ by Alexander Scheidler, et al. ∙ 0 ∙ share

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Explaining Recurrent Neural Network Predictions in Sentiment Analysis

Recently, a technique called Layer-wise Relevance Propagation (LRP) was ...
06/22/2017 ∙ by Leila Arras, et al. ∙ 0 ∙ share

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Understanding and Comparing Deep Neural Networks for Age and Gender Classification

Recently, deep neural networks have demonstrated excellent performances ...
08/25/2017 ∙ by Sebastian Lapuschkin, et al. ∙ 0 ∙ share

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On the regularization of Wasserstein GANs

Since their invention, generative adversarial networks (GANs) have becom...
09/26/2017 ∙ by Henning Petzka, et al. ∙ 0 ∙ share

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Explaining Predictions of Non-Linear Classifiers in NLP

Layer-wise relevance propagation (LRP) is a recently proposed technique ...
06/23/2016 ∙ by Leila Arras, et al. ∙ 0 ∙ share

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Methods for Interpreting and Understanding Deep Neural Networks

This paper provides an entry point to the problem of interpreting a deep...
06/24/2017 ∙ by Grégoire Montavon, et al. ∙ 0 ∙ share

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Histograms of Gaussian normal distribution for feature matching in clutter scenes

3D feature descriptor provide information between corresponding models a...
06/19/2017 ∙ by Wei Zhou, et al. ∙ 0 ∙ share

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Knowledge Representation on the Web revisited: Tools for Prototype Based Ontologies

In recent years RDF and OWL have become the most common knowledge repres...
07/16/2016 ∙ by Michael Cochez, et al. ∙ 0 ∙ share

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"What is Relevant in a Text Document?": An Interpretable Machine Learning Approach

Text documents can be described by a number of abstract concepts such as...
12/23/2016 ∙ by Leila Arras, et al. ∙ 0 ∙ share

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Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment

We present a deep neural network-based approach to image quality assessm...
12/06/2016 ∙ by Sebastian Bosse, et al. ∙ 0 ∙ share

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Deep Learning Prototype Domains for Person Re-Identification

Person re-identification (re-id) is the task of matching multiple occurr...
10/17/2016 ∙ by Arne Schumann, et al. ∙ 0 ∙ share

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Towards a New Science of a Clinical Data Intelligence

In this paper we define Clinical Data Intelligence as the analysis of da...
11/17/2013 ∙ by Volker Tresp, et al. ∙ 0 ∙ share

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Analyzing Classifiers: Fisher Vectors and Deep Neural Networks

Fisher Vector classifiers and Deep Neural Networks (DNNs) are popular an...
12/01/2015 ∙ by Sebastian Bach, et al. ∙ 0 ∙ share

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Exploring Human Vision Driven Features for Pedestrian Detection

Motivated by the center-surround mechanism in the human visual attention...
01/25/2015 ∙ by Shanshan Zhang, et al. ∙ 0 ∙ share

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Multilinear Wavelets: A Statistical Shape Space for Human Faces

We present a statistical model for 3D human faces in varying expression,...
01/13/2014 ∙ by Alan Brunton, et al. ∙ 0 ∙ share

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How to Explain Individual Classification Decisions

After building a classifier with modern tools of machine learning we typ...
12/06/2009 ∙ by David Baehrens, et al. ∙ 0 ∙ share

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Estimation of Human Body Shape and Posture Under Clothing

Estimating the body shape and posture of a dressed human subject in moti...
12/17/2013 ∙ by Stefanie Wuhrer, et al. ∙ 0 ∙ share

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Extended object reconstruction in adaptive-optics imaging: the multiresolution approach

We propose the application of multiresolution transforms, such as wavele...
10/25/2012 ∙ by Roberto Baena Gallé, et al. ∙ 0 ∙ share

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Review of Statistical Shape Spaces for 3D Data with Comparative Analysis for Human Faces

With systems for acquiring 3D surface data being evermore commonplace, i...
09/28/2012 ∙ by Alan Brunton, et al. ∙ 0 ∙ share

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Amending the Characterization of Guidance in Visual Analytics

At VAST 2016, a characterization of guidance has been presented. It incl...
10/18/2017 ∙ by Davide Ceneda, et al. ∙ 0 ∙ share

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Named Entity Recognition in Twitter using Images and Text

Named Entity Recognition (NER) is an important subtask of information ex...
10/30/2017 ∙ by Diego Esteves, et al. ∙ 0 ∙ share

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